Research Engineer (PhD Student, f/m/d) Advanced Tribological Simulation of the Piston/Ring/Liner System
We are looking for a motivated and innovative PhD student to investigate and model the behavior of the tribological system piston/ring/liner and to build up in-depth knowledge of wear and friction on piston, liner as well as on the ring pack for various materials, coatings and lubricants.
The works objective is to calibrate and validate a tribological software tool for simulation and analysis of the piston/ring/liner system in order to predict friction, blowby, lube oil consumption under different operating conditions and different material pairings. By prediction of the tribological behavior, the robustness and reliability of the system shall be optimized.
The scientific outcome should be an improved understanding of tribological behavior and knowledge about the potential and limitations of simulation approaches for the optimization of tribological systems. Furthermore, the integration of data-driven methods to develop hybrid models, e.g., for wear prediction, should be evaluated.
Research Engineer (PhD Student)
Identify influences on the behavior of tribological system piston/ring/liner with regard to friction, blowby, lube oil consumption and ring dynamics for different material pairings
Elaborate the fundamentals and requirements for tribological system simulations
Calibrate and validate a software tool for simulation and analysis of the piston/ring/liner system
Extend and optimize an existing physics-based baseline simulation model by data-driven methods
Derive measures for optimization of the tribological system piston/rings/liner
Interact closely within the LEC’s research team and industrial partners
Communicate the project results in regular internal meetings and to project partners
Disseminate the project results in the form of scientific publications and elaborate a doctoral thesis
Qualified degree (MSc, Dipl.-Ing) in mechanical engineering, physics, process engineering or similar
Interest for materials, tribology and structure dynamics simulations
Interest for machine learning techniques
Programming skills (Python, Matlab)
Knowledge of the simulation software AVL EXCITE™ is an asset
Strong interpersonal skills with initiative and perseverance
Technical writing skills
Fluent in German and/or English
Doctoral thesis within an exciting research project
Availability of outstanding research infrastructure (engine test beds, test rigs with optical access and high-performance computing cluster)
Consistent measurement data for the calibration of simulation models
Collaborative work in an excellent team
Excellent possibilities for further personal and professional development
Full-time position with an annual gross salary of Euro 42.820.-
Earliest starting date: immediately
The LEC supports equal opportunity and diversity. We are looking for committed and motivated individuals with a talent for research. Become part of our successful LEC team! We look forward to your application.
We are looking forward to your application!
Contact: Martina Lukic
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